NATURAL PRODUCT RESEARCH AND DEVELOPMENT ›› 2024, Vol. 36 ›› Issue (9): 1573-1583.doi: 10.16333/j.1001-6880.2024.9.013

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Quality evaluation of Centipedae Herba from different origins based on multi-component quantification combined with multivariate statistical analysis 

CHEN Wei1,YANG Hai-feng1,CHEN Yu1,WANG Hao2,3*,CHEN Xiao-lan1*   

  1. 1School of Pharmacy,Jiangsu Agri-animal Husbandry Vocational College,Taizhou 225300,China;2Dalian Institute of Chemical Physics,Chinese Academy of Sciences,Dalian 116023,China;3Jiangsu Key Laboratory of Chiral Pharmaceuticals Biosynthesie,Taizhou University,Taizhou 225300,China
  • Online:2024-09-25 Published:2024-09-25

Abstract:

This study aims to comprehensively evaluate the quality differences of Centipedae Herba in different producing areas by multi-component quantification combined with multivariate statistical analysis,and to improve the overall quality control level of Centipedae Herba.The Waters XTerra MS C18 column was used,with acetonitrile-0.2% phosphoric acid serving as the mobile phase.The contents of chlorogenic acid,isochlorogenic acid A,isochlorogenic acid C,quercetin,kaempferol,3-O-methylquercetin,arnicolide D,arnicolide C,microhelenin C,brevilin A,lupeol-sitosterol and taraxasterol in Centipedae Herba were simultaneously determined by HPLC.Cluster analysis(CA),principal component analysis(PCA) and factor analysis(FA) were performed on the quantitative detection results of multi-components components of 16 batches of Centipedae Herba,and the differential markers affecting product quality were excavated by OPLS-DA.The methodology was verified in accordance with the requirements of Chinese Pharmacopoeia.The 13 components showed good linear relationships in their respective ranges(R2>0.999),and the average recovery rate (n=9) were 96.88%-100.1% (RSD<2.0%).The CA results showed that 16 batches of Centipedae Herba were clustered into 3 categories.The PCA results showed that the eigenvalues of the first two principal components were 10.187 and 2.059,respectively,and the variance contribution rates were 78.361% and 15.839%,respectively,indicating that the first two principal components represented 94.200% of the information content of Centipedae Herba,and had a good representation for the quality evaluation of Centipedae Herba.The results of FA showed that the comprehensive scores of principal components of 16 batches of Centipedae Herba samples were -1.451-1.344.Among them,the comprehensive scores of Centipedae Herba in Zhejiang and Jiangsu were higher,ranking in the top five,the comprehensive scores of Centipedae Herba in Hubei,Hunan and Guangdong were in the middle,and the comprehensive scores of Centipedae Herba in Guizhou and Sichuan were lower.The results of OPLS-DA showed that short-leaved geraniin A,isochlorogenic acid A,inulin C,quercetin,and seneciolide C were the differential markers affecting the quality of Centipedae Herba.The established HPLC method is convenient and accurate,and can be used for quantitative control of multi-index components in Centipedae Herba.Multivariate statistical analysis can be used for the overall quality evaluation of Centipedae Herba in different origins.

Key words: Centipedae Herba, HPLC, multivariate statistical analysis, factor analysis, quality evaluation

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